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All Journal ELINVO (Electronics, Informatics, and Vocational Education) Journal of Robotics and Control (JRC)

Totok Sukardiyono

Universitas Negeri Yogyakarta

Author-ID : 5947254

Aerospace Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering

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Articles

Gamification on Chatbot-Based Learning Media: a Review and Challenges Indra Hidayatulloh; Sigit Pambudi; Herman Dwi Surjono; Totok Sukardiyono
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 1 (2021): Mei 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

The mobile learning sector has exploded, implying that the e-Learning trend is shifting to mobile platforms. As a result, chatbots have become increasingly popular alternatives for online learning and examinations on mobile platforms. However, it did not provide enough motivation for the student. On the other hand, gamification in a typical e-Learning platform is a widely used technique for increasing students' learning motivation. Therefore, combining gamification with chatbot-based learning and examinations possibly offer benefits, including increase student learning motivation. This study explored the possibilities and future challenges of the development of gamification within chatbot-based learning media. We discussed four aspects: architecture's reliability, security and privacy issue, user’s acceptance and motivation, and gamification feature challenges.

Enhance Deep Reinforcement Learning with Denoising Autoencoder for Self-Driving Mobile Robot Pratama, Gilang Nugraha Putu; Hidayatulloh, Indra; Surjono, Herman Dwi; Sukardiyono, Totok
Journal of Robotics and Control (JRC) Vol 5, No 3 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i3.21713

Over the past years, self-driving mobile robots have captured the interest of researchers, prompting exploration into their multifaceted implementation. They have the potential to revolutionize transportation by mitigating human error and reducing traffic accidents. The process of deploying self-driving mobile robots can be divided into several steps, such as algorithm design, simulation, and real-world application. This research paper presents a simulation using DonkeyCar on the Mini Monaco track, employing a Soft Actor-Critic (SAC) alongside a denoising autoencoder. At this point, it is limited to the simulation, serving as a proof of concept for further research with hardware implementation. The simulation verifies that relying solely on SAC for the convergence of policy is not sufficient; it yields a mean episode length of only 28.82 steps and a mean episode reward of 0.7815. The simulation ended after 3557 steps due to the inability of SAC alone to converge, without completing a single lap. Later, by integrating the denoising autoencoder, convergence of policy can be achieved. It enables DonkeyCar to adeptly track the lane of the circuit. The denoising autoencoder plays an important role in accelerating the convergence of transfer learning. Notably, the mean reward per episode reached 2380.4387, with an average episode length of 771.71 and a total of 114357 steps taken. DonkeyCar manages to complete several laps. These results affirm the effectiveness of SAC with a denoising autoencoder in enhancing the performance of self-driving mobile robots.

STUDI PENELUSURAN (TRACER STUDY) TERHADAP ALUMNI PROGRAM STUDI PENDIDIKAN TEKNIK INFORMATIKA JURUSAN PENDIDIKAN TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI YOGYAKARTA Fajaryati, Nuryake; Pambudi, Sigit; Priyanto, Priyanto; Sukardiyono, Totok; Utami, Athika Dwi Wiji; Destiana, Bonita
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 1 No. 1 (2015): November 2015 (Consist of 9 Articles)
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Penelitian tracer study ini bertujuan untuk memperoleh gambaran lama masa tunggu alumni sampai mendapatkan pekerjaan, mendeskripsikan penilaian alumni mengenai penyelenggaraan dan mutu layanan program yang ada di Program Studi Pendidikan Teknik Informatika FT UNY dan mendeskripsikan penilaian pengguna alumni terhadap kompetensi lulusan Pendidikan Teknik Informatika FT UNY. Penelitian ini termasuk jenis penelitian deskriptif kualitatif (qualitative research) melalui pendekatan survei mencakup tiga tahapan: 1) pengembangan konsep dan instrumen; 2) pengumpulan data; dan 3) analisa data dan pelaporan. Metode sampling dengan cara random, dengan proporsi 30% secara proporsional sesuai dengan jumlah lulusan. Jenis data yang dikumpulkan dalam penelitian ini adalah data primer yang diperoleh langsung dari alumni dan pengguna alumni melalui kuesioner yang terstruktur. Penyebaran kuesioner dilakukan secara online melalui Google docs dan penyebaran secara langsung kepada alumni atau pengguna alumni yang diketahui dengan jelas keberadaannya. Pengumpulan data lapangan dimulai pada Mei 2015 hingga Agustus 2015.Hasil penelitian menunjukkan sebagian besar alumni Program Studi Pendidikan Teknik Informatika mendapatkan pekerjaan dengan masa tunggu kurang dari 6 bulan yaitu sebanyak 88%, sementara lainnya membutuhkan waktu selama lebih dari 18 bulan sebanyak 7%, rentang 6 - 12 bulan sebanyak 3%, dan rentang 13 - 18 bulan sebanyak 2%. Mengenai penyelenggaraan dan mutu layanan, alumni memberikan penilaian baik dari persepsi semua aspek, namun dibutuhkan peningkatan dari segi SDM maupun fasilitas sarana dan prasarana. Pengguna alumni menilai bahwa kompetensi lulusan Program Studi Pendidikan Teknik Informatika dari segi aspek integritas, profesionalisme, penggunaan TI, komunikasi, kerjasama tim, dan pengembangan diri sangat baik, namun masih kurang dalam penggunaan bahasa, khususnya bahasa Inggris.

ANALISIS APLIKASI JADWAL PERKULIAHAN BERBASIS ANDROID Sukmandari, Daniswara Galuh; Sukardiyono, Totok
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 2 No. 1 (2017): May 2017
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Penelitian ini bertujuan untuk menganalisis kualitas perangkat lunak pada aplikasi mobile jadwal perkuliahan berdasarkan standar kualitas ISO 25010 ysng mencakup aspek funtional suitability, compatibility, usability, dan performance efficiency. Metode yang digunakan dalam penelitian adalah Research and Development (R&D) dengan model waterfall. Hasil dari penelitian adalah aplikasi jadwal perkuliahan telah memenuhi standar kualitas perangkat lunak berdasarkan standar ISO 25010. Pengujian functional suitabilitymendapatkan hasil sebesar 100% yang berarti fungsi aplikasi telah berjalan dengan benar.Pengujian compatibilitymendapatkan hasil sebesar 100%. Pengujian usabilitymendapatkan hasil sebesar 79,63% dengan kategori Layak. Pengujian performance efficiencymendapatkan rata-rata waktu launchingsebesar 2,048 detik dan 0,095 detik untuk rata-rata waktu rendering

UJI KELAYAKAN MEDIA PEMBELAJARAN INTERAKTIF PADA MATA PELAJARAN ADMINISTRASI SERVER Ernawati, Iis; Sukardiyono, Totok
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 2 No. 2 (2017): November 2017
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Penelitian ini bertujuan untuk mengetahui tingkat kelayakan Media Pembelajaran Interaktif pada Mata Pelajaran Administrasi Server di SMK Negeri 2 Depok. Metode yang digunakan dalam penelitian ini adalah kuantitatif. Prosedur pengujian yang digunakan adalah Alpha Testing dan Beta Testing. Subyek penelitian ini adalah para siswa kelas XI Teknik Komputer Jaringan di SMK Negeri 2 Depok. Teknik pengumpulan data dilakukan dengan kuesioner. Analisis data menggunakan analisis data kuantitatif. Hasil penelitian yang diperoleh adalah Media Pembelajaran Interaktif pada Mata Pelajaran Administrasi Server materi proxy server mendapat penilaian 85,50% dari ahli media, 85,83% dari ahli materi, dan 85,73% dari pengguna atau siswa. Sehingga dapat disimpulkan bahwa media pembelajaran interaktif pada mata pelajaran Administrasi Server materi proxy server ini sangat layak digunakan untuk pembelajaran di SMK Negeri 2 Depok.

Prototype Autonomous Rover Pembersih Sampah Pantai menggunakan ArduPilot Anto, Adhy Febry; Sukardiyono, Totok
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 4 No. 2 (2019): November 2019
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Indonesia has the second longest coastline in the world. On the other hand, Indonesia is the second largest contributor to marine waste in the world. Coastal cleanliness needs to be maintained so that it becomes an attraction for tourism and to protect the marine ecosystem. This article describes the results of testing devices that can be used to clean beaches. Research carried out by the development method. An autonomous beach garbage cleaning rover is a beach trash sweeper robot equipped with GPS, compass, telemetry, ArduPilot as a navigation and communication system when the robot operates. This robot moves using 2 DC motors with torque of ± 4 kg. The robot is also equipped with a conveyor that functions to sweep plastic debris on the beach. The test results show that the robot can go according to the specified path, according to the coordinates entered (100% accuracy) and be able to transport plastic waste. This is because the motor used has a small torque, so it is not able to lift large objects. The next robot development can be done in terms of: identifying the capacity of robots to accommodate various types of waste, testing the ability of robots to clean waste, the use of solar cells, and trajectory management systems.

Breaking Down Computer Networking Instructional Videos: Automatic Summarization with Video Attributes and Language Models Sukardiyono, Totok; Luthfi, Muhammad Irfan; Septiyanti, Nisa Dwi
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 1 (2023): Mei 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i1.60741

Instructional videos have become a popular tool for teaching complex topics in computer networking. However, these videos can often be lengthy and time-consuming, making it difficult for learners to obtain the key information they need. In this study, we propose an approach that leverages automatic summarization and language models to generate concise and informative summaries of instructional videos. To enhance the performance of the summarization algorithm, we also incorporate video attributes that provide contextual information about the video content. Using a dataset of computer networking tutorials, we evaluate the effectiveness of the proposed method and show that it significantly improves the quality of the video summaries generated. Our study highlights the potential of using language models in automatic summarization and suggests that incorporating video attributes can further enhance the performance of these models. These findings have important implications for the development of effective instructional videos in computer networking and can be extended to other domains as well.

Co-Authors Anto, Adhy Febry Athika Dwi Wiji Utami Bonita Destiana Gilang Nugraha Putu Pratama Herman Dwi Surjono Iis Ernawati, Iis Indra Hidayatulloh Muhammad Irfan Luthfi Nisa Dwi Septiyanti Nuryake Fajaryati Pambudi, Sigit Priyanto Priyanto Sigit Pambudi Sukmandari, Daniswara Galuh

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